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Authors: Ayesha Kashif 1 ; Xuan Hoa Binh Le 2 ; Julie Dugdale 1 and Stéphane Ploix 2

Affiliations: 1 LIG – Laboratoire d'Informatique de Grenoble, France ; 2 G-SCOP and ENSGI – INPG, France

Keyword(s): Multi agent system, Inhabitants’ dynamic behaviour, Energy efficiency & management.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: Inhabitants' behaviour is a significant factor that influences energy consumption and has been previously incorporated as static activity profiles within simulation for energy control & management. In this paper an agent-based approach to simulate reactive/deliberative group behaviour has been proposed and implemented. It takes into account perceptual, psychological (cognitive), social behavioural elements and domestic context to generate reactive/deliberative behavioural profiles. The Brahms language is used to implement the proposed approach to learn behavioural patterns for energy control and management strategies.

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Paper citation in several formats:
Kashif, A., Binh Le, X. H., Dugdale, J. and Ploix, S. (2011). AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-8425-41-6; ISSN 2184-433X, SciTePress, pages 190-199. DOI: 10.5220/0003150301900199

@conference{icaart11,
author={Ayesha Kashif and Xuan Hoa {Binh Le} and Julie Dugdale and Stéphane Ploix},
title={AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2011},
pages={190-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003150301900199},
isbn={978-989-8425-41-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT
SN - 978-989-8425-41-6
IS - 2184-433X
AU - Kashif, A.
AU - Binh Le, X.
AU - Dugdale, J.
AU - Ploix, S.
PY - 2011
SP - 190
EP - 199
DO - 10.5220/0003150301900199
PB - SciTePress

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